2017 |
Yakoub, Z.; Chetoui, M.; Amairi, M.; Aoun, M. Model-based fractional order controller design Conférence vol. 50, no. 1, 2017, (Cited by: 3; All Open Access, Bronze Open Access). Résumé | Liens | BibTeX | Étiquettes: Bias elimination, Closed loops, Controllers, Fractional differentiation, Frequency domain analysis, Identification for control, Least squares approximations, Optimization, Process control, Recursive least square (RLS) @conference{Yakoub201710431b, This paper deals with model-based fractional order controller design. The objective is identification for controller design in order to achieve the desired closed-loop performances. Firstly, the fractional order closed-loop bias-eliminated least squares method is used to identify the process model. Then, based on the numerical optimization of a frequency-domain criterion, the fractional controller is designed. If the proposed algorithm detects any changes in the process parameters, the controller is updated to keep the same performances. A numerical example is presented to show the efficiency of the proposed scheme. © 2017 |
Publications
2017 |
Model-based fractional order controller design Conférence vol. 50, no. 1, 2017, (Cited by: 3; All Open Access, Bronze Open Access). |